code: def init_affine_w(std=1e-8):
      """
  
      :param std: float, standard deviation of normal distribution for weight initialisation
      :return: random weight initialisation from normal distribution with zero mean
      """
      return tf.random_normal_initializer(0, std)
  
file_path: NiftyNet/niftynet/network/interventional_affine_net.py
imports: from __future__ import absolute_import, print_function
  import numpy
  import tensorflow
  from tensorflow.contrib.layers.python.layers import regularizers
  from niftynet.engine.application_initializer import GlorotUniform
  from niftynet.layer.convolution import ConvolutionalLayer
  from niftynet.layer.downsample_res_block import DownBlock
  from niftynet.layer.fully_connected import FullyConnectedLayer
  from niftynet.layer.grid_warper import AffineGridWarperLayer
  from niftynet.layer.layer_util import infer_spatial_rank
  from niftynet.layer.linear_resize import LinearResizeLayer
  from niftynet.network.base_net import BaseNet
label_desc: Use image node_id 1 for calling a global function with example usage: init_affine_w(std) and returns: tf